| 2025 | ICCV | G | Mohammed Rakib, Arunkumar Bagavathi |
| 2025 | PAKDD | PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context. | Luke Vaughan, Mohammed Rakib, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Arunkumar Bagavathi |
| 2024 | DSAA | HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. | Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas |
| 2024 | PAKDD | Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. | S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi |
| 2023 | ICMLA | Learning Unbiased News Article Representations: A Knowledge-Infused Approach. | Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi |
| 2023 | ICMLA | Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. | Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi |
| 2022 | ISMIS | Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias. | Sadia Kamal, Jade Gullic, Arunkumar Bagavathi |
| 2021 | ICMLA | A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. | Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi |
| 2021 | MICCAI | MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. | Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran |
| 2021 | PAKDD | Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. | Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur |
| 2020 | ICMLA | DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. | Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan |
| 2020 | ICMLA | GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. | Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi |
| 2019 | ICMLA | ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. | Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan |
| 2019 | ICMLA | Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. | Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan |
| 2019 | IRI | Scalable Action Mining for Recommendations to Reduce Hospital Readmission. | Arunkumar Bagavathi, Angelina A. Tzacheva |
| 2018 | ICMLA | Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules. | Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, Zbigniew W. Ras |
| 2017 | ICDM | Discovery of Action Rules at Lowest Cost in Spark. | Angelina A. Tzacheva, Arunkumar Bagavathi, Lavanya Ayila |